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Specialized senior AI role reduces applicant density despite multinational brand, giving medium competition.
Core ML/AI engineering skills are transferable across industries, though procurement domain knowledge moderately increases sensitivity.
Explicit 12+ years, 5+ years AI, and mandatory LLM/RAG/Python/cloud skills imply high shortlisting strictness.
Own end-to-end technical design, delivery, integration, and operation of AI-enabled sourcing and procurement solutions, including Compare Tool, Smart Intake, and SourceIQ.
Lead internal and external teams to translate business needs into scalable, secure AI solutions aligned with enterprise standards.
Manage solution lifecycle: design, code review, testing, deployment, support, and continuous enhancement, ensuring alignment with semantic layers and enterprise architecture.
12+ years of software development experience with at least 5 years in AI environments.
Strong proficiency in Python, APIs/integrations, cloud and application architecture; experienced in full-stack development within production codebases.
Hands-on experience with LLM, RAG, agentic AI, and intelligent workflows.
Experience owning enterprise applications through build, deployment, and ongoing operations.
Experienced technical leader capable of managing and guiding both internal engineering teams and external delivery partners.
Strong troubleshooting skills across code, integrations, workflows, data, and AI behavior to identify and resolve complex issues.
Proven ability to architect and maintain scalable, maintainable AI-enabled enterprise applications while preventing embedding of business logic in unsuitable places to ensure reuse and operational sustainability.